ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Qwen3.7 Max vs GLM-5

Qwen3.7 Max comes out ahead, 58 to 55 on our weighted score, though GLM-5 is 2.4× cheaper per token.

  1. Our pick

    Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
    Full specs Remove Qwen3.7 Max

  2. Z.ai (Zhipu)

    GLM-5

    Released Feb 12, 2026

    55/100
    • ECI145.8
    • Price$1.00 / $3.20
    • Context205K
    Full specs Remove GLM-5

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3.7 Max is our pick

Qwen3.7 Max is the better all-round choice, scoring 58/100 against GLM-5 (55). It leads on capability and context window. GLM-5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 MaxCapabilities Index (ECI): Qwen3.7 Max 153.7 · GLM-5 145.8
  • Lowest priceGLM-5GLM-5 $1.55 · Qwen3.7 Max $3.75 per 1M tokens (3:1 blend)
  • Longest contextQwen3.7 MaxQwen3.7 Max 1,000,000 · GLM-5 204,800 tokens
  • Widest inputsSame inputsQwen3.7 Max: Text · GLM-5: Text
  • Self-hostingGLM-5Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 MaxGLM-5
CapabilityCapabilities Index (ECI)50%8373
Price25%2341
Inputs & features15%3535
Context window10%6032
Overall100%58/10055/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3.7 Max vs GLM-5 specifications side by side
SpecificationQwen3.7 MaxAlibaba (Qwen)GLM-5Z.ai (Zhipu)
Capability
Capabilities Index (ECI)153.7 (best)145.8
ECI rank#37 of 148 (best)#74 of 148
GPQA DiamondGraduate-level science questions90.9% (best)87.8%
FrontierMath Tiers 1–3Research-level mathematics64.6%—
OTIS Mock AIME 2024–2025Competition mathematics95.6% (best)80.0%
SWE-bench VerifiedFixing real GitHub issues77.3% (best)72.1%
SimpleQA VerifiedShort factual questions55.8%—
Price per million tokens
Input$2.50$1.00 (best)
Output$7.50$3.20 (best)
Cached input$0.50$0.20 (best)
Blended (3:1)$3.75$1.55 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Z.AI API
Limits
Context window1,000,000 tokens (best)204,800 tokens
Max output65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model IDqwen3.7-maxglm-5
API providers2627 (best)
ReleasedMay 21, 2026Feb 12, 2026
Knowledge cutoff——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Qwen3.7 Max$40.00
  • GLM-5$16.40
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Max or GLM-5?

Qwen3.7 Max is the better all-round choice, scoring 58/100 against GLM-5 (55). It leads on capability and context window. GLM-5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Max or GLM-5?

GLM-5 is cheaper at $1.00 input / $3.20 output per million tokens (official Z.AI API price). Qwen3.7 Max costs $2.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.55 per million tokens for GLM-5 versus $3.75 for Qwen3.7 Max (2.4× as much).

Which scores higher on benchmarks?

Qwen3.7 Max scores higher on the Capabilities Index (ECI): Qwen3.7 Max 153.7 (#37 of 148) and GLM-5 145.8 (#74 of 148). Their confidence ranges do not overlap (151.9–156.0 vs 143.9–147.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3.7 Max 90.9%, GLM-5 87.8%; OTIS Mock AIME 2024–2025 — Qwen3.7 Max 95.6%, GLM-5 80.0%; SWE-bench Verified — Qwen3.7 Max 77.3%, GLM-5 72.1%.

Which is better for coding?

Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3% and GLM-5 72.1%. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.7 Max has the largest context window at 1,000,000 tokens, against 204,800 for GLM-5. Maximum output per response: Qwen3.7 Max up to 65,536, GLM-5 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Max accepts text; GLM-5 accepts text. They handle the same number of input types.

Are any of these open source?

GLM-5 publishes its weights and can be self-hosted; Qwen3.7 Max is proprietary.

Which is newer?

Qwen3.7 Max is the newest, released May 21, 2026. GLM-5 came out Feb 12, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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